Decoupling in CSR reports: A Linguistic Content Analysis of the Volkswagen Dieselgate scandal

Dirk Holtbrügge, M. Conrad
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引用次数: 7

Abstract

Abstract This study examines whether and how Corporate Social Responsibility reports of firms in the automobile industry differ in regards to their linguistic composition and their decoupling tendencies. Based on Basu and Palazzo’s process model, the Volkswagen emission scandal (‘Dieselgate’) is analyzed from a linguistic content perspective by comparing Volkswagen’s CSR reports with those of its biggest competitors. By applying the Linguistic Inquiry and Word Count Software, we identify linguistic characteristics that can help to detect deception markers. More specifically, we show how CSR reports of de-couplers and implementors differ in terms of morphology, syntax, semantics and pragmatics by developing and applying a linguistic analysis’ framework. The data provided mixed support for our hypotheses. The analysis revealed that de-couplers, among other factors, use more articles, more words per sentences, a more negative emotional tone and fewer words connected to risks and anxiety, while verb tense and informal language only had ambiguous or even no influence. The study contributes to the current understanding of CSR reporting, the debate on CSR decoupling, and the linguistic perspective of CSR research. Moreover, it specifies the linguistic domain of Basu and Palazzo’s process model.
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企业社会责任报告中的脱钩:大众柴油车丑闻的语言内容分析
摘要本研究考察了汽车行业企业社会责任报告在语言构成和脱钩趋势方面是否存在差异以及如何存在差异。基于Basu和Palazzo的过程模型,通过比较大众与其最大竞争对手的企业社会责任报告,从语言内容的角度分析大众排放丑闻(“柴油门”)。通过应用语言查询和字数统计软件,我们确定了有助于检测欺骗标记的语言特征。更具体地说,我们通过开发和应用语言分析框架,展示了解耦者和实施者的CSR报告在形态学、语法、语义和语用学方面的差异。这些数据为我们的假设提供了不同的支持。分析显示,除其他因素外,解耦者使用更多的冠词,每句使用更多的单词,更消极的情绪语调,与风险和焦虑相关的单词更少,而动词时态和非正式语言只有模糊甚至没有影响。该研究有助于当前对企业社会责任报告的理解、企业社会责任脱钩的争论以及企业社会责任研究的语言学视角。此外,它还指定了Basu和Palazzo的过程模型的语言领域。
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来源期刊
CiteScore
2.60
自引率
14.30%
发文量
13
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